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старший преподаватель кафедры системного программирования Никольская Ксения Юрьевна
Ксения Юрьевна Никольская Аспирант
E-mail:  nikolskaiaki@susu.ru
Должность:
старший преподаватель
Профиль в Scopus Профиль в Google-академии    Профиль в ResearchGate   

Область научных интересов

Защита информации, машинное обучение, кибербезопасность, применение технологии blockchain в защите информации

Научные публикации

  1. Shepelev V., Aliukov S., Nikolskaya K., Shabiev S. The capacity of the road network: Data collection and statistical analysis of traffic characteristics // Energies. 2020. Vol. 13. Is. 7. Article 1765. DOI: 10.3390/en13071765, indexing: Scopus Q1. [Full Text in PDF]
  2. Shepelev V., Aliukov S., Nikolskaya K., Das A., Slobodin I. The Use of Multi-Sensor Video Surveillance System to Assess the Capacity of the Road Network // Transport and Telecommunication. 2020. Vol. 21. Is. 1. P. 15-31. DOI: 10.2478/ttj-2020-0002, indexing: Scopus Q2
  3. Kataev G., Varkentin V., Nikolskaia K. Method to estimate pedestrian traffic using convolutional neural network // Transportation Research Procedia. 2020. Vol. 50, P. 234–241. DOI: 10.1016/j.trpro.2020.10.029, indexing: Scopus Q3. [Full Text in PDF]
  4. Ivanov S., Nikolskaya K., Radchenko G., Sokolinsky L., Zymbler M. Digital Twin of City: Concept Overview // Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020. IEEE, 2020. P. 178–186. Article number 9267879. DOI:10.1109/GloSIC50886.2020.9267879, indexing Scopus. [Full Text in PDF]
  5. Nikolskaia, K., Minbaleev A. New Perspectives on Ethics and the Laws of Artificial Intelligence in the Investigation of Incidents Related to DDoS Attacks // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020, Vladivostok, Russian Federation. 6-9 October 2020. DOI: 10.1109/FarEastCon50210.2020.9271163, indexing Scopus.
  6. Nikolskaia, K., Naumov V. Artificial Intelligence in Law // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020, Vladivostok, Russian Federation. 6-9 October 2020. DOI: 10.1109/FarEastCon50210.2020.9271095, indexing Scopus.
  7. Иванов С.А., Никольская К.Ю., Радченко Г.И., Соколинский Л.Б., Цымблер М.Л. Концепция построения цифрового двойника города // Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика. 2020. Т. 9, № 4. С. 5–23. DOI: 10.14529/cmse200401. (п÷п╣я─п╣я┤п╣п╫я▄ п▓п░п , РИНЦ) [Текст в формате PDF]
  8. Fedorov A., Nikolskaia K., Ivanov S., Shepelev V., Minbaleev A. Traffic flow estimation with data from a video surveillance camera // Journal of Big Data. 2019. Vol. 6. Article 73. DOI: 10.1186/s40537-019-0234-z, indexing: Scopus Top10%.
  9. Vasilieva M.V., Glukhova V.A., Grednovskaya E.V., Dydrov A.A., Klebanov I.I., Nikolaeva I.A., Nikolskaya K.Yu., Penner R.V., Tseilikman V.E. The light and the dark sides of the moon: Possibilities of Industry 4.0 for early non-invasive diagnosis of pathology and health-risks // Proceedings of the Joint IMEKO TC1-TC7-TC13-TC18 Symposium 2019, Saint Petersburg, Russia. DOI: 10.1088/1742-6596/1379/1/012070 , indexing Scopus Q4.
  10. Nikolskaia K., Bessonov V., Starkov A., Minbaleev A. Prototype of Driver Fatigue Detection System Using Convolutional Neural Network // Proceedings of the "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2019 International Conference, Sochi, Russia. DOI: 10.1109/ITQMIS.2019.8928341, indexing Scopus Q4. [Text in PDF]
  11. Nikolskaia K., Ilya N., Minbaleev A. Development of the Face Recognition Application Using Neural Networks Technology // Proceedings of the "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2019 International Conference, Sochi, Russia. DOI: 10.1109/ITQMIS.2019.8928392, indexing Scopus Q4. [Text in PDF]
  12. Nikolskaia K., Snegireva D., Minbaleev A. Development of the Application for Diploma Authenticity Using the Blockchain Technology // Proceedings of the "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2019 International Conference, Sochi, Russia. DOI: 10.1109/ITQMIS.2019.8928423, indexing Scopus Q4. [Text in PDF]
  13. Nikolskaia K., Ezhova N., Sinkov A., Medvedev M. Skin detection technique based on HSV color model and SLIC segmentation method // Proceedings of the 4th Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists, Ural-PDC 2018. CEUR Workshop Proceedings. 2018. Vol. 2281. P. 123-135. (Indexing: Scopus Q4)
  14. Nikolskaya K., Ivanov S., Golodov V., Minbaleev A., Gregory D., Asyaev G. Review of modern DDoS-attacks, methods and means of counteraction // Proceedings of the "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2017 International Conference, Saint Petersburg, Russia. (DOI: 10.1109/ITMQIS.2017.8085769, indexing: Scopus)
  15. Nikolskaya K., Ivanov S., Golodov V., Sinkov A. Development of a mathematical model of the control beginning of DDoS-attacks and malicious traffic // Proceedings of the "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2017 International Conference, Saint Petersburg, Russia. (DOI: 10.1109/ITMQIS.2017.8085768, indexing: Scopus)
  16. Nikolskaya K., Ivanov S., Golodov V.,Mursalimov A. Analysis of approaches to the construction of intrusion detection systems // Proceedings of the "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS), 2017 International Conference, Saint Petersburg, Russia. (DOI: 10.1109/ITMQIS.2017.8085767, indexing: Scopus)
  17. Sinkov A., Asyaev G., Mursalimov A, Nikolskaya K. Neural networks in data mining // Proceedings of the 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016, Russian Federation, Chelyabinsk. (DOI: 10.1109/ICIEAM.2016.7911596, indexing: Scopus)
  18. Асяев Г.Д., Никольская К.Ю., Али М.М. Применение нейронной сети для распознавания искусственно сгенерированных образов // Вестник ЮУрГУ. Серия «Компьютерные технологии, управление, радиоэлектроника». 2017. Т. 17, № 3. С. 135–141. (DOI: 10.14529/ctcr170315)
 




Дизайн: Е.В. Аксенова